README.md

---
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- image-generation
- flux
- safetensors
widget:
- text: >-
    This poster shows a smartphone on a black background. The iphone screen
    shows a miniature scene, an amusement park scene, seamlessly integrated into
    the phone's frame. The scene is set from the top left to the bottom right of
    the phone, creating a perspective that draws the viewer into the tiny world.
    In the middle is a huge Ferris wheel, surrounded by many amusement
    facilities and shops
  output:
    url: images/577fa923f011853d6e96afd3dbd05810cf85625fec0614a36ca5e490.jpg
- text: >-
    This poster shows a smartphone on a black background. The iphone screen
    shows a miniature scene, a street scene, seamlessly integrated into the
    iphone's frame. The scene is set from the top left to the bottom right of
    the phone, creating a perspective that draws the viewer into the tiny world.
    In the middle of the picture is the apple Store, which is a glass house. It
    is surrounded by shopping malls and shops
  output:
    url: images/a29b8763a8f733dea09c1ab07a42263ef6e304cb81be3f5c97fbf8f6.jpg
- text: >-
    This poster shows a smartphone against a dark background. The phone screen
    reveals a miniature stereoscopic scene of eiffel tower, Paris, seamlessly
    integrated into the phone’s frame
  output:
    url: images/c4f5c765bc8d3d396ed13d65666895ab23ada35c78ca6d91bf814613.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: null
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
---
# FLUX.1-dev-LoRA-Micro-landscape-on-Mobile-Phone


This is a LoRA trained on FLUX.1-dev for micro landscape on mobile phone by [DalaBengba](https://www.shakker.ai/userpage/1dfc365becb94c78b5a79499ca3c8685/publish) on [Shakker AI](https://www.shakker.ai/modelinfo/d6d1c836954a420aa87dc4672621fb6d?from=feed).

<div class="container">
  <img src="./poster.jpg" width="1024"/>
</div>

## Showcases
<Gallery />


## Trigger words
The trigger word is not required. The recommended scale is `0.6` to `0.9` in diffusers.

## Usage suggestion
When you come up with a scene, you can directly give it to GPT to enrich the details. At the beginning, you can tell it this: 'I am using AI drawing software for creation, and I need you to help me write some prompts in natural language. Start the sentence like this: `This poster shows a smartphone against a dark background. The phone screen reveals a miniature scene of a xxxxxxx landscape, seamlessly integrated into the phone’s frame. In this sentence, xxxxxxx represents the specific scene. After this sentence, add some specific details about the scene.`

## Inference

```python
import torch
from diffusers import FluxPipeline

pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16)
pipe.load_lora_weights("Shakker-Labs/FLUX.1-dev-LoRA-Micro-landscape-on-Mobile-Phone", weight_name="FLUX-dev-lora-micro-landscape.safetensors")
pipe.fuse_lora(lora_scale=0.7)
pipe.to("cuda")

prompt = "This poster shows a smartphone against a dark background. The phone screen reveals a miniature stereoscopic scene of New York City, seamlessly integrated into the phone’s frame."

image = pipe(prompt, 
             num_inference_steps=24, 
             guidance_scale=3.5,
            ).images[0]
image.save(f"example.png")
```

## Online Inference

You can also run this model at [Shakker AI](https://www.shakker.ai/modelinfo/d6d1c836954a420aa87dc4672621fb6d?from=feed), where we provide an online interface to generate images.


## Acknowledgements
This model is trained by our copyrighted users [DalaBengba](https://www.shakker.ai/userpage/1dfc365becb94c78b5a79499ca3c8685/publish). We release this model under permissions. The model follows [flux-1-dev-non-commercial-license](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md).